Accuracy of a stormwater monitoring program for urban landuses

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This study examined the accuracy of an urban stormwater monitoring program in estimating the annual discharge load (LT) and the annual reduction rate by a stormwater treatment device (RT) for total suspended solids. A calibrated stormwater management modelwas used to generate the entire stormwater runoff events in one year and was used to estimate LT and RT under different monitoring strategies having limited numbers of runoffevents, including random, wet season, antecedent dry days (ADD)-based, monthly, and seasonally weighted. For random monitoring, 12 storms were required to estimate the valuesof LT and RT with mean relative errors of 13.98 and 0.24%, respectively. Monthly monitoring had slightly greater mean relative errors compared to random monitoring. Wet season and ADD-based monitoring underor overestimated both LT and RT. Monitoring with equal numbers of storms from the wet and dry seasons best estimated LT and RT.

Original languageEnglish
Pages (from-to)815-822
Number of pages8
JournalWater Environment Research
Volume85
Issue number9
DOIs
StatePublished - Sep 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Best management practice
  • Monitoring
  • Monte Carlo sampling
  • Stormwater
  • Stormwater management model
  • Urban runoff

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